Arid
项目编号0321948
Modeling, Variability and Predictability of North American Hydrologic Extremes
Kelly Redmond
主持机构Nevada System of Higher Education, Desert Research Institute
开始日期2003-04-01
结束日期2008-03-31
资助经费46264(USD)
项目类别Continuing Grant
资助机构US-NSF(美国国家科学基金会)
项目所属计划CLIMATE & LARGE-SCALE DYNAMICS, LARGE-SCALE DYNAMIC METEOROLOG, HYDROLOGIC SCIENCES
语种英语
国家美国
英文简介This research is intended to produce tools to assess potential regional effects of global anthropogenic climate change on the structure of North American daily hydrology in different seasons. The PI will apply climate prediction methodology to forecast the probabilities of hydrological weather extremes. A new comprehensive statistical framework will be developed for the description of daily precipitation and streamflow data. Using this framework, the PI will examine variability and predictability of daily hydrological extremes. He will apply statistical methods designed for data with heavy-tailed distributions (distributions with relatively large numbers of extreme events that can't be accounted for by exponentially decaying tails of traditional Probability Density Functions (PDFs). He will then examine the influence of climate forcing in space and time on the shape of seasonal distributions of daily hydrology. The parameters describing the PDF's shape will become predictands from which statistical information, e.g., frequencies of extreme events, can be derived. The PI will work with scientists at UCSD, SIO and the University of Nevada, Reno.

This research has broader impacts of research results applied to the important societal issue of extreme hydrologic events in the context of a changing climate.
来源学科分类Geosciences
URLhttps://www.nsf.gov/awardsearch/showAward?AWD_ID=0321948
资源类型项目
条目标识符http://119.78.100.177/qdio/handle/2XILL650/342299
推荐引用方式
GB/T 7714
Kelly Redmond.Modeling, Variability and Predictability of North American Hydrologic Extremes.2003.
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